This paper investigates various machine learning trading and portfolio optimisation models and techniques.
https://github.com/firmai/machine-learning-asset-management
https://github.com/firmai/machine-learning-asset-management
GitHub
GitHub - firmai/machine-learning-asset-management: Machine Learning in Asset Management (by @firmai)
Machine Learning in Asset Management (by @firmai). Contribute to firmai/machine-learning-asset-management development by creating an account on GitHub.
Divide and Conquer the Embedding Space for Metric Learning
Simple and efficient approach for metric learning.
Code: https://github.com/CompVis/metric-learning-divide-and-conquer
Article: https://arxiv.org/pdf/1906.05990.pdf
Simple and efficient approach for metric learning.
Code: https://github.com/CompVis/metric-learning-divide-and-conquer
Article: https://arxiv.org/pdf/1906.05990.pdf
GitHub
GitHub - CompVis/metric-learning-divide-and-conquer: Source code for the paper "Divide and Conquer the Embedding Space for Metric…
Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019 - CompVis/metric-learning-divide-and-conquer
AI Discovers Sentiment By Writing Amazon Reviews
https://www.youtube.com/watch?v=hYWr67i8z5o&feature=youtu.be
https://www.youtube.com/watch?v=hYWr67i8z5o&feature=youtu.be
YouTube
AI Discovers Sentiment By Writing Amazon Reviews
❤️ Support the show on Patreon: https://www.patreon.com/TwoMinutePapers ₿ Crypto and PayPal links are available below. Thank you very much for your generous ...
OmniNet: A unified architecture for multi-modal multi-task learning
https://github.com/subho406/OmniNet
https://github.com/subho406/OmniNet
GitHub
GitHub - subho406/OmniNet: Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning"…
Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain - subho406/OmniNet
Learning Better Simulation Methods for Partial Differential Equations
http://ai.googleblog.com/2019/07/learning-better-simulation-methods-for.html
http://ai.googleblog.com/2019/07/learning-better-simulation-methods-for.html
Googleblog
Learning Better Simulation Methods for Partial Differential Equations
An Introduction to Recurrent Neural Networks for Beginners
https://towardsdatascience.com/an-introduction-to-recurrent-neural-networks-for-beginners-664d717adbd
https://towardsdatascience.com/an-introduction-to-recurrent-neural-networks-for-beginners-664d717adbd
Medium
An Introduction to Recurrent Neural Networks for Beginners
A simple walkthrough of what RNNs are, how they work, and how to build one from scratch in Python.
MintNet: Building Invertible Neural Networks with Masked Convolutions
https://arxiv.org/abs/1907.07945
https://arxiv.org/abs/1907.07945
arXiv.org
MintNet: Building Invertible Neural Networks with Masked Convolutions
We propose a new way of constructing invertible neural networks by combining simple building blocks with a novel set of composition rules. This leads to a rich set of invertible architectures,...
ArchiGAN: a Generative Stack for Apartment Building Design
https://devblogs.nvidia.com/archigan-generative-stack-apartment-building-design/
https://devblogs.nvidia.com/archigan-generative-stack-apartment-building-design/
NVIDIA Technical Blog
ArchiGAN: a Generative Stack for Apartment Building Design
This post decribes ArchiGAN, an adversarial deep learning network based on Pix2Pix to generate apartment and building floorplans.
Want to know what software-driven health care looks like? This class offers some clues.
http://news.mit.edu/2019/want-know-what-software-driven-health-care-looks-mit-class-offers-some-clues-0724
http://news.mit.edu/2019/want-know-what-software-driven-health-care-looks-mit-class-offers-some-clues-0724
MIT News
Want to know what software-driven health care looks like? This class offers some clues.
A course that combines machine learning and health care explores the promise of applying artificial intelligence to medicine.
Eidetic 3D LSTM: A Model for Video Prediction and Beyond
Article : https://openreview.net/forum?id=B1lKS2AqtX
GitHub: https://github.com/metrofun/E3D-LSTM
Article : https://openreview.net/forum?id=B1lKS2AqtX
GitHub: https://github.com/metrofun/E3D-LSTM
OpenReview
Eidetic 3D LSTM: A Model for Video Prediction and Beyond
Spatiotemporal predictive learning, though long considered to be a promising self-supervised feature learning method, seldom shows its effectiveness beyond future video prediction. The reason is...
Highest Rated ML Projects on Github
It is impossible to follow everything ML. These 5, though, are worth a look.
https://towardsdatascience.com/highest-rated-ml-projects-on-github-694486293512
It is impossible to follow everything ML. These 5, though, are worth a look.
https://towardsdatascience.com/highest-rated-ml-projects-on-github-694486293512
Medium
Highest Rated ML Projects on Github
It is impossible to follow everything ML. These 5, though, are worth a look.
Train and Deploy Machine Learning Model With Web Interface - PyTorch & Flask
Github: https://github.com/imadelh/ML-web-app
Article: https://imadelhanafi.com/posts/train_deploy_ml_model/
Example: https://ml-app.imadelhanafi.com/
Github: https://github.com/imadelh/ML-web-app
Article: https://imadelhanafi.com/posts/train_deploy_ml_model/
Example: https://ml-app.imadelhanafi.com/
Collaborative Experts
This repo provides code for learning and evaluating joint video-text embeddings for the task of video retrieval
https://github.com/albanie/collaborative-experts
This repo provides code for learning and evaluating joint video-text embeddings for the task of video retrieval
https://github.com/albanie/collaborative-experts
GitHub
GitHub - albanie/collaborative-experts: Video embeddings for retrieval with natural language queries
Video embeddings for retrieval with natural language queries - albanie/collaborative-experts